Alzheimer biomarkers esteem by sampling Kantorovich algorithm

In this paper, we take advantage of the reconstruction properties sampling Kantorovich (SK) algorithm to estimate volume human brain for quantification Alzheimer's biomarkers. At first, goodness reconstructions is evaluated, comparing it different interpolation methods by means Peak Signal Noise Ratio (PSNR) index; then stereological Cavalieri/Point-counting technique used infer volumetric data starting from knowledge planar sections. The comparison achieved results with synthetic references confirms good performances new methodology.